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Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

Position Summary

The Informatics and Predictive Sciences (IPS) conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning—across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS.

The IPS team in Brisbane, CA is seeking a graduate intern with strong computational capabilities to join our team to analyze real-world, multi-modal data for cardiovascular diseases. To address unmet needs in the cardiovascular space, we are interested in discovering and developing treatment for patients that are non-responders to standard of care treatment. For this internship project, we aim to build patient profiles and machine learning prediction models for responders and non-responders using real-world data.  Specifically, we will focus on the internal cardiovascular patient cohort, which is a comprehensive multi-model, longitudinal dataset that includes clinical phenotypic genomic and imaging components for cardiomyopathy and heart failure patients. The output of this project will enable focused drug discovery efforts on non-responders of standard of care treatment. The intern will have the opportunity to participate in departmental and project team meetings to gain valuable insights into drug discovery and development process and interact with individuals with a range of scientific and pharmaceutical leadership backgrounds. 

Key Responsibilities

Characterization of the cardiovascular patient profiles using multi-modal data (including WGS, clinical and imaging data)Build and evaluate machine learning models to predict responder status using multi-modal dataApply developed machine learning models to other datasets to infer responder statusDisseminate the results in the forms of presentation/reports/UI tools with stakeholders from various functional groups

Qualifications & Experience

Currently enrolled in a graduate program in Computational Biology, Bioinformatics or a related filed. Proficiency in a high-level programming language such as R or Python. Experience working with common NGS data types, such as WGS and RNA-seq data. Knowledge in machine learning/AI methods and applications. Strong communication and organizational skills, and ability to work within a multidisciplinary teamExperience working with real-word data or cardiovascular diseases is a plus

The starting compensation for this job is a range from $29.00/hour - $35.00/hour. The starting pay rate takes into account characteristics of the job, such as required skills and the geographic location where work is performed. Final individual compensation is decided commensurate with demonstrated experience and education level.
 

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

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